What Makes A Good Data Manager? Infographic
The evolution of Real World Evidence (RWE) data, together with the unlimited capacity of "big data" will lead to a huge amount of unstructured data to be “curated”, a challenge that the data manager will need to face in order to turn data into information and ultimately into knowledge.
Sources of data have grown exponentially in the last few years, meaning that data managers need to consider issues such as data integration, data reliability and data validation. A risk-based approach helps to ensure that the appropriate validation occurs and that there is an assurance of data reliability, despite the huge number of data points. The data manager plays a key role in establishing risk measures and determining the most appropriate risk assessment plans, and establish plans to handle data from multiple sources.
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